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More output.
Same machines.
4–12 weeks.

Visual Factories measures the real OEE of every machine, finds the losses that matter, and turns them into tasks people actually do — the Floor-to-Profit Method. 20% OEE improvement in 4–12 weeks — verified on production data.

Production managers reviewing Visual Factories OEE data on a tablet under the shop-floor screen
14 daysfrom zero data to your plant live
20% OEEgain in 4–12 weeks
Guaranteeif we miss, you get your money back
Rolls-RoycePratt & WhitneyGühringDinexTecvoxTrinityRailTAV Medical
The problem

Almost no plant knows its real OEE.
And the ones that do don't know what to do with it.

OEE is the one number that tells you how much of your paid-for capacity you actually turn into good parts. In most plants it is built from end-of-shift reports and memory — and even where it is measured, the findings die in meetings.

01

OEE from paper and memory

Operators write down downtime after the fact. Averages hide the losses. By the time the number is on a slide, the shift — and the output — is gone.

02

The Pareto is wrong

The biggest loss is rarely the longest stop. Dozens of short stoppages a day add up to hours — invisible to anyone counting minutes per event.

03

Findings never become actions

A finding needs an owner, a task and a follow-up. Meetings, spreadsheets and good intentions lose all three.

Measurement without action is just a more accurate way to lose money.
What you get

Real OEE on every machine — and the reason behind every loss.

From the day the machines are connected, with no production data typed in by hand.

Visual Factories live machine-status screen beside a CNC
01 · Live

Availability, performance, quality — per machine, per shift

Uptime, downtime and throughput straight from the machine's signals. Live targets on the shop-floor screen; the same number in the plant, in the office and on the phone.

Visual Factories AI root-cause analysis
02 · Root cause

The top offenders, with the reason and the fix

Operators add reasons in one tap; the AI agent ranks losses by what they cost — including the micro-stops the Pareto misses — and recommends the action.

Visual Factories on a phone in the plant
03 · Action

Tasks assigned, tracked and closed

One click turns a finding into a task with an owner and a due date. MTBF and MTTR by machine, alerts on the phone, daily PDF report to management.

Where the 20% comes from

The losses are already in your plant. We make them visible — and give each one an owner.

Every plant loses output to the same six things. Visual Factories measures each one on each machine, so the improvement plan starts from facts, not opinions.

  • ABreakdowns — unplanned stops, with MTBF and MTTR per machine
  • ASetups & changeovers — measured, compared, shortened
  • PMicro-stops — by frequency, not duration: the hidden loss
  • PReduced speed — actual vs standard cycle time, part by part
  • QScrap & rework — where and when defects are made
  • QStart-up losses — after every setup, shift and break
Operators at CNC lathes with Visual Factories monitors above
The Floor-to-Profit Method

Five stages from first signal to 20% more OEE.

Visual Factories' operating discipline for turning machine data into profit. The system does the work; people follow the loop — and the effort it asks of them grows only as the results do.

01

Connect

Each machine in under an hour. No IT project.

No effort from your people
02

Empower

Shop-floor screens show live targets. Teams self-manage.

Just watch the screen
03

Analyze

Full OEE root-cause on top offenders. Data, not gut feel.

A little time
04

Act

Plans built, assigned, done. An executive keeps it moving.

An executive in charge

AI agent

Finds the cause, creates the task, makes sure people act.

Automation
05

Improve

Continuous and measurable. The outcome of running the loop.

Result
Weeks 1–2 · No effort from your people
The plant lights up

Machines connected, live OEE on the monitors. Nobody has to change how they work yet.

Weeks 2–4 · Just watch the screen
Teams self-correct

Operators see the target and the gap in real time. The easy losses close on their own.

Weeks 4–8 · A little time
The root causes surface

Reasons on every stop. The AI ranks the offenders and hands the plan to the right people.

Weeks 8–12 · An executive in charge
The plan gets executed

Tasks with owners and dates. One executive makes sure they happen. The 20% arrives.

It's not software you watch — it's a method you run, and we're paid only when it works.

AI in action

Measurement becoming improvement.

Live from the VF platform: the AI agent finds the reason behind a loss, recommends the action and creates the task — assigned to the right person and tracked through to done. No extra meetings, no spreadsheets, no lost follow-ups.

See it on your data →
Two managers reviewing VF AI analysis on a tablet
What the AI agent tells you — main reason, recommended action, one click to create the task
VF AI root-cause analysis: micro-stops are the hidden loss
Finds the hidden loss — micro-stops by frequency, not duration — and prescribes the fix.
VF AI root-cause analysis: performance by average vs standard
Spots where the standard is wrong, and tells you exactly what to review.
Measured results

Three cells. Three processes. Same loop.

49% →
62% OEE

13-machine cell, Plant 1 — Tier-1 automotive supplier, Mexico

48% →
83% OEE

4-machine injection-molding cell — same supplier

59% →
82% OEE

2-machine end-of-line cell — same supplier

Baseline measured Nov 2025 – Jan 2026. Improvement measured April 2026. Verified against production data.
Day 14
Visibility

Your machines live. Baseline OEE measured, not estimated.

Week 4
Quick wins

Micro-stops and start-up losses cut by the teams in the plant.

Week 8
Root causes

Top offenders fixed through assigned, tracked tasks.

Week 12
+20% OEE

Sustained, on the same machines, with the same people.

Case study — Tier-1 automotive supplier
Case study · Tier-1 automotive supplier

Increasing revenue, cutting costs, and reducing overtime

  • +27%OEE
  • +23%production per day
  • −63%overtime hours
  • −68%defect parts per million
Read the case study PDF · free download
1
All we ask of you: one executive who makes sure it gets done.

The system measures, analyzes and assigns. The only thing it cannot do is decide that improvement is a priority. Give the loop one owner with authority, and the results follow.

Free download

The Tier-1 automotive case study

One plant, eight months, the same machines and people: +23% output per day, one shift fewer, −63% overtime, OEE from 59% to 75%, −68% defect parts per million. Written for plant managers and operations executives.

PDF · 4 pages · the full before/after table


    Pick the cell that's gating your output.

    We connect it, measure the real baseline, and put the losses in front of your team with a plan — or you don't pay.

    ✓ 14 Days to Visibility✓ Money-back guarantee✓ No IT project✓ ISO 27001

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